Towards Semi-supervised Manifold Learning: UKR with Structural Hints.
Jan SteffenStefan KlankeSethu VijayakumarHelge J. RitterPublished in: WSOM (2009)
Keyphrases
- manifold learning
- semi supervised
- semi supervised learning
- nonlinear dimensionality reduction
- labeled data
- subspace learning
- diffusion maps
- pairwise
- unlabeled data
- unsupervised learning
- laplacian eigenmaps
- supervised learning
- active learning
- locality preserving
- head pose estimation
- locally linear embedding
- low dimensional
- manifold learning algorithm
- high dimensional data
- feature extraction
- manifold structure
- nonlinear manifold
- metric learning
- dimensionality reduction
- high dimensional
- riemannian manifolds
- pairwise constraints
- sparse representation
- low dimensional manifolds
- multiscale
- data sets